#machine learning
Sep 2026
On the Lexical Superstition of Large Language Models for Code Comprehension: Re-evaluation on Code of Low Lexical Quality
Face/Off is introduced, a semantics-preserving identifier-renaming framework, and progressive naming conditions across multiple models and code-comprehension tasks are evaluated, revealing a systematic vulnerability in how current LLMs balance lexical cues against program structure.
Xin-Peng Shen, San-Zhuo Xi, Ya-Li Du et al.
· arXiv.org · 0 citations